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Motor imagery of gait: a new way to detect mild cognitive impairment?

OBJECTIVES: 1) To measure and compare the time required to perform (pTUG) and the time required to imagine (iTUG) the Timed Up & Go (TUG), and the time difference between these two tasks (i.e., TUG delta time) in older adults with cognitive decline (i.e., mild cognitive impairment (MCI) and mild...

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Autores principales: Beauchet, Olivier, Launay, Cyrille P, Sejdić, Ervin, Allali, Gilles, Annweiler, Cédric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998055/
https://www.ncbi.nlm.nih.gov/pubmed/24742021
http://dx.doi.org/10.1186/1743-0003-11-66
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author Beauchet, Olivier
Launay, Cyrille P
Sejdić, Ervin
Allali, Gilles
Annweiler, Cédric
author_facet Beauchet, Olivier
Launay, Cyrille P
Sejdić, Ervin
Allali, Gilles
Annweiler, Cédric
author_sort Beauchet, Olivier
collection PubMed
description OBJECTIVES: 1) To measure and compare the time required to perform (pTUG) and the time required to imagine (iTUG) the Timed Up & Go (TUG), and the time difference between these two tasks (i.e., TUG delta time) in older adults with cognitive decline (i.e., mild cognitive impairment (MCI) and mild-to-moderate Alzheimer disease and related disorders (ADRD)) and in cognitively healthy individuals (CHI); and 2) to examine any association between the TUG delta time and a cognitive status. METHODS: Sixty-six participants (24 CHI, 23 individuals with MCI, and 19 individuals with ADRD) were recruited in this cross-sectional study. The mean and standard deviation of the pTUG and iTUG completion times and the TUG delta time, as well as age, gender, and Mini-Mental State Examination (MMSE) scores were used as outcomes. Participants were separated into three groups based on the tertilization of TUG delta time: lowest (<13.6%; n = 22; best performance), intermediate (13.6-52.2%; n = 22), and highest tertile (>52.2%; n = 22, worst performance). RESULTS: Fewer CHI were in the group exhibiting the highest tertile of TUG delta time compared to individuals with lowest and intermediate TUG delta times (p = 0.013). Being in the highest tertile of the TUG delta time was associated with cognitive decline in the unadjusted model (p = 0.012 for MCI, and p = 0.021 for mild-to-moderate ADRD). In the multivariate models, this association remained significant only for individuals with MCI (p = 0.019 while adjusting for age and gender; p = 0.047 while adjusting for age, gender, and MMSE score; p = 0.012 for the stepwise backward model). CONCLUSIONS: Our results provide the first evidence that motor imagery of gait may be used as a biomarker of MCI in older adults.
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spelling pubmed-39980552014-04-25 Motor imagery of gait: a new way to detect mild cognitive impairment? Beauchet, Olivier Launay, Cyrille P Sejdić, Ervin Allali, Gilles Annweiler, Cédric J Neuroeng Rehabil Research OBJECTIVES: 1) To measure and compare the time required to perform (pTUG) and the time required to imagine (iTUG) the Timed Up & Go (TUG), and the time difference between these two tasks (i.e., TUG delta time) in older adults with cognitive decline (i.e., mild cognitive impairment (MCI) and mild-to-moderate Alzheimer disease and related disorders (ADRD)) and in cognitively healthy individuals (CHI); and 2) to examine any association between the TUG delta time and a cognitive status. METHODS: Sixty-six participants (24 CHI, 23 individuals with MCI, and 19 individuals with ADRD) were recruited in this cross-sectional study. The mean and standard deviation of the pTUG and iTUG completion times and the TUG delta time, as well as age, gender, and Mini-Mental State Examination (MMSE) scores were used as outcomes. Participants were separated into three groups based on the tertilization of TUG delta time: lowest (<13.6%; n = 22; best performance), intermediate (13.6-52.2%; n = 22), and highest tertile (>52.2%; n = 22, worst performance). RESULTS: Fewer CHI were in the group exhibiting the highest tertile of TUG delta time compared to individuals with lowest and intermediate TUG delta times (p = 0.013). Being in the highest tertile of the TUG delta time was associated with cognitive decline in the unadjusted model (p = 0.012 for MCI, and p = 0.021 for mild-to-moderate ADRD). In the multivariate models, this association remained significant only for individuals with MCI (p = 0.019 while adjusting for age and gender; p = 0.047 while adjusting for age, gender, and MMSE score; p = 0.012 for the stepwise backward model). CONCLUSIONS: Our results provide the first evidence that motor imagery of gait may be used as a biomarker of MCI in older adults. BioMed Central 2014-04-18 /pmc/articles/PMC3998055/ /pubmed/24742021 http://dx.doi.org/10.1186/1743-0003-11-66 Text en Copyright © 2014 Beauchet et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Beauchet, Olivier
Launay, Cyrille P
Sejdić, Ervin
Allali, Gilles
Annweiler, Cédric
Motor imagery of gait: a new way to detect mild cognitive impairment?
title Motor imagery of gait: a new way to detect mild cognitive impairment?
title_full Motor imagery of gait: a new way to detect mild cognitive impairment?
title_fullStr Motor imagery of gait: a new way to detect mild cognitive impairment?
title_full_unstemmed Motor imagery of gait: a new way to detect mild cognitive impairment?
title_short Motor imagery of gait: a new way to detect mild cognitive impairment?
title_sort motor imagery of gait: a new way to detect mild cognitive impairment?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998055/
https://www.ncbi.nlm.nih.gov/pubmed/24742021
http://dx.doi.org/10.1186/1743-0003-11-66
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